{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "## 绘制X和Y点\n",
    "plot() 函数用于在图表中绘制点（标记）。\n",
    "默认情况下, plot() 函数从点到点绘制一条线。\n",
    "该函数需要传入在图表中指定点的参数。\n",
    "参数1是包含 x轴 上的点的数组。\n",
    "参数2是包含 y轴 上的点的数组。"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制一条从(1,3)到(8,10)的直线\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "x = np.array([1, 8])\n",
    "y = np.array([3, 10])\n",
    "\n",
    "plt.plot(x, y)\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## 常见的标记样式\n",
    "'o' : 圆点\n",
    "'.' : 像素点\n",
    "',' : 像素\n",
    "'v' : 下三角\n",
    "'^' : 上三角\n",
    "'<' : 左三角\n",
    "'>' : 右三角\n",
    "'1' : 下三叉星\n",
    "'2' : 上三叉星\n",
    "'3' : 左三叉星\n",
    "'4' : 右三叉星\n",
    "'s' : 方块\n",
    "'p' : 五边形\n",
    "'*' : 星形\n",
    "'h' : 六边形1\n",
    "'H' : 六边形2\n",
    "'+' : 加号\n",
    "'x' : x形\n",
    "'D' : 菱形\n",
    "'d' : 窄菱形\n",
    "'|' : 垂直线\n",
    "'_' : 水平线"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制标记点\n",
    "# 在图中绘制两个点,一个在(1,3),一个在(8,10)\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "x = np.array([1, 8])\n",
    "y = np.array([3, 10])\n",
    "\n",
    "plt.plot(x, y, 'o')\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 多点绘制,只要保障两个轴上的点数量一样(x,y形状相同)\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "# x = np.array([1, 2, 3, 4])\n",
    "# y = np.array([3, 10, 5, 8])\n",
    "\n",
    "x = np.arange(-10, 10, 0.1)\n",
    "y = np.sin(x)\n",
    "\n",
    "plt.plot(x, y)\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 默认X点\n",
    "# 如果我们不指定 x 轴上的点，它们将获得默认值0、1、2、3（等等），具体取决于 y 点的长度。\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "# x = np.array([1, 2, 3, 4])\n",
    "# y = np.array([3, 10, 5, 8])\n",
    "\n",
    "x = np.arange(-10, 10, 0.1)\n",
    "y = np.tanh(x)\n",
    "\n",
    "plt.plot(x, y)\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}